DocumentCode
2290135
Title
Blind Signal Separation Based on Feed-forward and Feedback Neural Network
Author
Bo, Xiong ; Guo-lin, Li ; Jing-jing, Xu ; Yu Jing
Author_Institution
Graduate Students´´ Brigade, Naval Aeronaut. Eng. Inst., Yantai
fYear
2006
fDate
16-19 Oct. 2006
Firstpage
1
Lastpage
4
Abstract
The algorithm based on feed-forward and feed-back NN combines both the algorithm based on feed-forward NN and the algorithm based on feed-back NN. It separates the signal blindly by modifying the feed-forward separating matrix and the feed-back separating matrix at the same time. It has both strong adaptability and fast convergence ratio. Finally, the algorithm was used to separate several typical radio fuse signal blindly, and the computer simulation was made. The simulation result was ideal, indicates the algorithm to be effective
Keywords
blind source separation; feedforward neural nets; recurrent neural nets; blind signal separation; feed-forward-feedback neural network; separating matrix; Aerospace engineering; Blind source separation; Equations; Feedforward neural networks; Feedforward systems; Fuses; Gaussian processes; Neural networks; Neurofeedback; Uncertainty; blind signal separation; neuron network; radio fuse;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 2006. CIE '06. International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7803-9582-4
Electronic_ISBN
0-7803-9583-2
Type
conf
DOI
10.1109/ICR.2006.343118
Filename
4148243
Link To Document